In this paper, we introduce a novel context-aware kernel design framework based on deep learning. Our method discriminatively learns spatial geometric context ...
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Feb 14, 2022 · A context-aware kernel models the similarity between images using not only their content but also their context. The latter is relevant ...
Abstract—Context plays an important role in visual pattern recognition as it provides complementary clues for different learning tasks including image ...
Dec 21, 2020 · We introduce in this paper DHCN: a novel Deep Hierarchical Context Network that leverages different sources of contexts including geometric and ...
We introduce in this paper DHCN: a novel Deep Hierarchical Context Network that leverages different sources of contexts including geometric and semantic ...
Dec 21, 2020 · Hierarchical context learning, deep context-aware networks, image annotation. 1 INTRODUCTION. IMAGE annotation is one of the major challenges ...
Bibliographic details on Deep Context Networks for Image Annotation.
In this paper, we introduce a novel deep network architecture that learns context in kernel design. This architecture is fully determined by the solution of an ...
The solution of this objective function defines a particular deep network architecture whose parameters correspond to different variants of learned contexts ...
Nov 16, 2021 · We introduce in this paper DHCN: a novel Deep Hierarchi- cal Context Network that leverages different sources of con- texts including geometric ...